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Parameter estimation and inverse problems.

By: Contributor(s): Material type: TextTextPublication details: Amsterdam : Elsevier; 2013Edition: 2nd ed. Richard C. Aster, Clifford H. ThurberDescription: x, 360 p. : ill. ; 24 cmISBN:
  • 9780123850485
Subject(s): DDC classification:
  • 515.357 AST/Par 23
LOC classification:
  • QA276.8 .A88 2013
Contents:
Machine generated contents note: Preface Chapter 1: Introduction Chapter 2: Linear Regression Chapter 3: Rank Deficiency and Ill Conditioning Chapter 4: Tikhonov Regularization Chapter 5: Discretizing Inverse Problems Using Basis Functions Chapter 6: Iterative Methods Chapter 7: Additional Regularization Techniques Chapter 8: Fourier Techniques Chapter 9: Nonlinear Regression Chapter 10: Nonlinear Inverse Problems Chapter 11: Bayesian Methods Chapter 12: Epilogue A. Review of Linear Algebra B. Review of Probability and Statistics C. Review of Vector Calculus D. Glossary of Notation Bibliography Index.
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Includes bibliographical references and index.

Machine generated contents note: Preface Chapter 1: Introduction Chapter 2: Linear Regression Chapter 3: Rank Deficiency and Ill Conditioning Chapter 4: Tikhonov Regularization Chapter 5: Discretizing Inverse Problems Using Basis Functions Chapter 6: Iterative Methods Chapter 7: Additional Regularization Techniques Chapter 8: Fourier Techniques Chapter 9: Nonlinear Regression Chapter 10: Nonlinear Inverse Problems Chapter 11: Bayesian Methods Chapter 12: Epilogue A. Review of Linear Algebra B. Review of Probability and Statistics C. Review of Vector Calculus D. Glossary of Notation Bibliography Index.

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